Abstract: A cover system configured for a cargo area of a vehicle, the cover system includes a frame having a first frame section and a second frame section that opposes the first frame section; a bow connector connected to the first frame section; and a bow that extends between the first frame section and the second frame section, the bow includes a receiver that is configured to engage the bow connector to connect the bow to the first frame section; the bow connector includes a wedge-shaped structure that is configured to engage a corresponding wedge-shaped structure on the receiver of the bow to connect the bow to the first frame section.

Abstract: A system and method for mapping an indoor environment. A client device may receive an indication of a starting point on a floor plan. The client device may prompt the user to travel in a particular direction and indicate when the user can no longer travel in that direction. As the user travels from the starting point in the designated direction, the client device may gather information about the indoor environment. For example, the client device may gather wireless signal strength data, cellular tower strength data, or video image data while the user travels in the designated direction. The client device may associate the gathered information with the path the user traveled from the starting point to the ending point. The client device may indicate the area for which valid location information is available based on the path the user traveled and the information the user collected.

Abstract: Methods and apparatus are directed to geofencing applications that utilize machine learning. A computing device can receive a plurality of geofence-status indications, where a geofence-status indication includes training data associated with a geofence at a first location. The geofence is associated with a geographical area. The computing device trains a geofence-status classifier to determine a geofence status by providing the training data as input to the geofence-status classifier. The training data includes data for a plurality of training features. After the geofence-status classifier is trained, the computing device receives query data associated with a second location. The query data includes data for a plurality of query features. The query features include a query feature that corresponds to a training feature. The query data is input to the geofence-status classifier. After providing the query data, the trained geofence-status classifier indicates the geofence status.

Abstract: A system and method for mapping an indoor environment. A client device may receive an indication of a starting point on a floor plan. The client device may prompt the user to travel in a particular direction and indicate when the user can no longer travel in that direction. As the user travels from the starting point in the designated direction, the client device may gather information about the indoor environment. For example, the client device may gather wireless signal strength data, cellular tower strength data, or video image data while the user travels in the designated direction. The client device may associate the gathered information with the path the user traveled from the starting point to the ending point. The client device may indicate the area for which valid location information is available based on the path the user traveled and the information the user collected.

Abstract: A system and method for mapping an indoor environment. A client device may receive an indication of a starting point on a floor plan. The client device may prompt the user to travel in a particular direction and indicate when the user can no longer travel in that direction. As the user travels from the starting point in the designated direction, the client device may gather information about the indoor environment. For example, the client device may gather wireless signal strength data, cellular tower strength data, or video image data while the user travels in the designated direction. The client device may associate the gathered information with the path the user traveled from the starting point to the ending point. The client device may indicate the area for which valid location information is available based on the path the user traveled and the information the user collected.

Abstract: Methods and apparatus are directed to geofencing applications that utilize machine learning. A computing device can receive a plurality of geofence-status indications, where a geofence-status indication includes training data associated with a geofence at a first location. The geofence is associated with a geographical area. The computing device trains a geofence-status classifier to determine a geofence status by providing the training data as input to the geofence-status classifier. The training data includes data for a plurality of training features. After the geofence-status classifier is trained, the computing device receives query data associated with a second location. The query data includes data for a plurality of query features. The query features include a query feature that corresponds to a training feature. The query data is input to the geofence-status classifier. After providing the query data, the trained geofence-status classifier indicates the geofence status.

Abstract: Feedback corresponding to a plurality of portions of an electronic book is collected. The feedback is analyzed to determine rating information corresponding to the plurality of portions. The rating information and a current reading position associated with a client device are used to determine information to be presented at the client device. In some instances, the feedback includes one or more implicit indicators.

Abstract: A system and method for mapping an indoor environment. A client device may receive an indication of a starting point on a floor plan. The client device may prompt the user to travel in a particular direction and indicate when the user can no longer travel in that direction. As the user travels from the starting point in the designated direction, the client device may gather information about the indoor environment. For example, the client device may gather wireless signal strength data, cellular tower strength data, or video image data while the user travels in the designated direction. The client device may associate the gathered information with the path the user traveled from the starting point to the ending point. The client device may indicate the area for which valid location information is available based on the path the user traveled and the information the user collected.

Abstract: A sentient system combines detection, tracking, and immersive visualization of a cluttered and crowded environment, such as an office building, terminal, or other enclosed site using a network of stereo cameras. A guard monitors the site using a live 3D model, which is updated from different directions using the multiple video streams. As a person moves within the view of a camera, the system detects its motion and tracks the person's path, it hands off the track to the next camera when the person goes out of that camera's view. Multiple people can be tracked simultaneously both within and across cameras, with each track shown on a map display. The track system includes a track map browser that displays the tracks of all moving objects as well as a history of recent tracks and a video flashlight viewer that displays live immersive video of any person that is being tracked.

Abstract: A method and system for coordinated tracking of objects is disclosed. A plurality of images is received from a plurality of nodes, each node comprising at least one image capturing device. At least one target in the plurality of images is identified to produce at least one local track corresponding to each of the plurality of nodes having the at least one target in its field of view. The at least one local track corresponding to each of the plurality of nodes is fused according to a multi-hypothesis tracking method to produce at least one fused track corresponding to the at least one target. At least one of the plurality of nodes is assigned to track the at least one target based on minimizing at least one cost function comprising a cost matrix using the k-best algorithm for tracking at least one target for each of the plurality of nodes. The at least one fused track is sent to the at least one of the plurality of nodes assigned to track the at least one target based on the at least one fused track.

Abstract: A method and system for coordinated tracking of objects is disclosed. A plurality of images is received from a plurality of nodes, each node comprising at least one image capturing device. At least one target in the plurality of images is identified to produce at least one local track corresponding to each of the plurality of nodes having the at least one target in its field of view. The at least one local track corresponding to each of the plurality of nodes is fused according to a multi-hypothesis tracking method to produce at least one fused track corresponding to the at least one target. At least one of the plurality of nodes is assigned to track the at least one target based on minimizing at least one cost function comprising a cost matrix using the k-best algorithm for tracking at least one target for each of the plurality of nodes. The at least one fused track is sent to the at least one of the plurality of nodes assigned to track the at least one target based on the at least one fused track.

Abstract: In an immersive surveillance system, videos or other data from a large number of cameras and other sensors is managed and displayed by a video processing system overlaying the data within a rendered 2D or 3D model of a scene. The system has a viewpoint selector configured to allow a user to selectively identify a viewpoint from which to view the site. A video control system receives data identifying the viewpoint and based on the viewpoint automatically selects a subset of the plurality of cameras that is generating video relevant to the view from the viewpoint, and causes video from the subset of cameras to be transmitted to the video processing system. As the viewpoint changes, the cameras communicating with the video processor are changed to hand off to cameras generating relevant video to the new position. Playback in the immersive environment is provided by synchronization of time stamped recordings of video.

Abstract: A sentient system combines detection, tracking, and immersive visualization of a cluttered and crowded environment, such as an office building, terminal, or other enclosed site using a network of stereo cameras. A guard monitors the site using a live 3D model, which is updated from different directions using the multiple video streams. As a person moves within the view of a camera, the system detects its motion and tracks the person's path, it hands off the track to the next camera when the person goes out of that camera's view. Multiple people can be tracked simultaneously both within and across cameras, with each track shown on a map display. The track system includes a track map browser that displays the tracks of all moving objects as well as a history of recent tracks and a video flashlight viewer that displays live immersive video of any person that is being tracked.